Examples of using Mapreduce in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
Creating a mapreduce program.
MapReduce and its imperfections.
How to run a MapReduce job.
The storage is provided by HDFS and analysis by MapReduce.
How to write a MapReduce procedure.
People also translate
It is similar to the split in MapReduce.
MapReduce input and outputs are always simple files in a file system; and.
This is a two-pass MapReduce job.
Basically speaking, MapReduce is a set of functions that are very useful in organizing and computing data across multiple databases.
Didn't really need a MapReduce functionality.
Note that Weka doesn't yet support Spark,only MapReduce.
The processing utility is a MapReduce programming model.
The storage is provided by HDFS and the analysis by MapReduce.
Naturally, we can write a program in MapReduce to compute this output.
MapReduce programs are parallel in nature, thus are very useful for performing large-scale data analysis using multiple machines in the cluster.
Some even trumpet their own implementations of the ubiquitous MapReduce algorithm.
The process of running a MapReduce job with Hadoop involves the following steps:.
This task can be any process written in any framework(such as a MapReduce task or a Giraph task).
The framework is designed in a way that a MapReduce cluster can scale to thousands of nodes in a faulttolerant manner.
The next step is to study complexfile formats that are more appropriate for mapreduce, such as Avro and Sequencefile.
So when Google published its own GFS and MapReduce papers, Yahoo should be the first company to focus on these papers.
Most MapReduce output should be left unmerged, since there is no benefit to merging if the next consumer is another MapReduce program.
Chukwa is built on top of the Hadoop distributed filesystem(HDFS) and MapReduce framework and inherits Hadoop's scalability and robustness.
The disadvantage is that mapreduce(or any third-party software) lacks support for files generated by reading protocol buffers serialization.
When considering how tocompress data that will be processed by MapReduce, it is important to understand whether the compression format supports splitting.
Amazon Elastic MapReduce- A web service for processing large data sets utilizing a hosted Hadoop framework running on the EC2 and the Simple Storage Service.
Hadoop Distributed File System(HDFS) uses MapReduce framework to process the vast amount of data that takes minutes or hours.
Adaptive MapReduce: An IBM Research solution for speeding up the execution of small MapReduce jobs by changing how MapReduce tasks are handled.
Netflix uses Amazon's Elastic MapReduce distribution of Hadoop and has developed its own Hadoop Platform as a Service, which it calls Genie.